气候与下垫面变化对叶尔羌河源流径流的影响

doi:10.12118/j.issn.1000–6060.2021.05.18

Abstract

Abstract:

Climate and underlying surface changes are the main factors affecting the changes in the hydrological cycle of a river basin. Research on the response of the runoff evolution to climate and underlying surface changes at different temporal and spatial scales is the basis of water resource planning and management. This study took the upper reaches of the Yarkand River Basin in Xinjiang, China as the study area, constructed a SWAT distributed hydrological model embedded with glacier modules, and simulated the monthly runoff from 1968 to 2017 at the Kaqun Hydrological Station to evaluate the model’s applicability in the study area. The simulation results were used to analyze the interannual variability and the intra-year distribution of the glacier runoff in the study area and quantitatively calculate the contribution rate of climate and underlying surface changes to runoff changes. The results show that the model has good applicability during the runoff simulation in the study area. The R² during the calibration period from 1968 to 1992 and the verification period from 1993 to 2017 was 0.77 and 0.86, respectively; the NSE was 0.76 and 0.85, respectively; the RSR was 0.49 and 0.38, respectively; and the PBIAS was -7.4% and 0.6%, respectively. The simulation showed that the glacier runoff in the study area generally increased in the past 50 years, with the proportion of the total runoff being approximately 51.1%. The glacier runoff mainly occurred from June to September of the year, accounting for 90.0% of the annual glacier runoff. The changes in climate and land use increased the monthly runoff by 6.62 m³·s^-1 and 0.41 m³·s^-1, respectively. The contribution rate of climate change is 94.2%, depicting that the impact of climate change on the runoff in the study area is dominant. The research results can provide a scientific basis for understanding the causes of the historical runoff changes in the study area and predicting the future runoff evolution trends.

Key words: climate change, underlying surface change, SWAT model, glacier runoff simulation, Yarkant River Basin

REN Cai,LONG Aihua,YU Jiawen,YIN Zhenliang,ZHANG Ji. Effects of climate and underlying surface changes on runoff of Yarkant River Source[J].Arid Land Geography, 2021, 44(5): 1373-1383.

Figures/Tables 17

Fig. 1

Tab. 1

Fig. 2

Tab. 2

Fig. 3

Fig. 4

Tab. 3

Scenario settings of the influences of climate and underlying surface change on runoff"

情景	气候数据年份	下垫面数据年份	模拟径流结果
$S 0$ （基础情景）	1966—1992	1990	Q₀
$S 1$ （气候变化情景）	1993—2017	1990	Q₁
$S 2$ （下垫面变化情景）	1966—1992	2015	Q₂
$S 3$ （协同作用情景）	1993—2017	2015	Q₃

Tab. 3

Fig. 5

Fig. 6

Fig. 7

Tab. 4

Fig. 8

Fig. 9

Tab. 5

Fig. 10

Fig. 11

Tab. 6

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编号	名称	重分类名称	面积占比/%
12	旱地	AGRR	0.1
21	有林地	XJZY	0.2
22	灌木林	XJGC	0.2
31	高覆盖草地	XJCD	9.8
32	中覆盖草地	XJCY	17.5
33	低覆盖草地	XJHM	9.3
41	河渠	XJHQ	0.1
43	水库坑塘	WASK	0.1
44	永久性冰川雪地	CNJX	12.6
52	城镇用地	URLD	0.0
62	戈壁	XJGB	1.6
66	裸岩石质地	XJLY	48.7

亚类名称	土类名称	土壤亚类代码	重分类名称	面积占比/%
寒冻土	寒冻土	23120171	HDTXJ	41.2
棕钙土	棕钙土	23113101	ZGTXJ	9.2
淡棕钙土	棕钙土	23113102	DGTXJ	5.4
棕漠土	棕漠土	23114121	ZMTXJ	3.3
含盐石质土	石质土	23115185	HYSZTXJ	1.4
草毡土	草毡土	23120102	CZTXJ	0.9
寒钙土	寒钙土	23120122	HGTXJ	2.0
冷钙土	冷钙土	23120132	LGTXJ	18.7
寒漠土	寒漠土	23120151	HMTXJ	5. 3
冰川雪被	冰川雪被	23127101	ICE	12. 6

参数模块	参数名称	参数意义	参数范围	参数最优值
径流	ESCO	土壤蒸发补偿系数	[0.01, 1.0]	0.6
	ALPHA_BF	基流系数	[0.1, 1.0]	0.036
	CH_K2	主河道河床有效水力传导度	[0, 50]	6.5
	GWQMIN	“基流”水位阈值	[1, 200]	100
	GW_DELAY	地下水延迟时间	[0, 180]	60
冰川	F_M	融冰系数	[2.6, 13]	5.5
	R_ice	冰辐射系数	[0, 0.1]	14.4×10^-6
	β₀	基础蓄积系数	[0.001, 0.006]	0.003
积雪	SMFMX	6月21日融雪度日因子	[0, 10]	6.5
	SMFMN	12月21日融雪度日因子	[0, 10]	1.0
	SFTMP	降雪阈值温度	[-5, +5]	1.0
	SMTMP	融雪阈值温度	[-5, +5]	0.5
	TIMP	积雪温度滞后系数	[0.1, 2.0]	1.0

时段	实测径流均值/m³·s^-1	模拟径流均值/m³·s^-1	R²	NSE	RSR	PBIAS/%
校准期（1968-01—1992-12）	203.14	218.10	0.77	0.76	0.49	-7.37
验证期（1993-01—2017-12）	226.06	224.72	0.86	0.85	0.38	0.59
全时段（1968-01—2017-12）	214.60	221.41	0.82	0.81	0.44	-3.17

Effects of climate and underlying surface changes on runoff of Yarkant River Source

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